Artificial intelligence-based automated breast ultrasound radiomics for breast tumor diagnosis and treatment: a narrative review.
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| Title: | Artificial intelligence-based automated breast ultrasound radiomics for breast tumor diagnosis and treatment: a narrative review. |
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| Authors: | Guo Y; Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China., Li N; Department of Radiology, Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China., Song C; Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China., Yang J; Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China., Quan Y; Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China., Zhang H; Department of Radiology, Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China. |
| Source: | Frontiers in oncology [Front Oncol] 2025 May 08; Vol. 15, pp. 1578991. Date of Electronic Publication: 2025 May 08 (Print Publication: 2025). |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2234-943X |
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| DOI: | 10.3389/fonc.2025.1578991 |
